Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-3085-2019
https://doi.org/10.5194/gmd-12-3085-2019
Model description paper
 | 
19 Jul 2019
Model description paper |  | 19 Jul 2019

CLIMADA v1: a global weather and climate risk assessment platform

Gabriela Aznar-Siguan and David N. Bresch

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Cited articles

Aballain, O.: Hurricane Irma and Hurricane Maria in the media: France vs America, a Contrastive Analysis, Utrecht University, 2018. 
Aznar-Siguan, G. and Bresch, D. N.: CLIMADA_python documentation, available at: https://climada-python.readthedocs.io/en/stable/, last access: 17 July 2019. 
Bertinelli, L., Mohan, P., and Strobl, E.: Hurricane damage risk assessment in the Caribbean: An analysis using synthetic hurricane events and nightlight imagery, Ecol. Econ., 108, 8589–8594, https://doi.org/10.1016/j.ecolecon.2016.02.004, 2016. 
Bevere, L., Schwartz, M., Sharan, R., and Zimmerli, P.: Natural catastrophes and man-made disasters in 2017: a year of record-breaking losses, available at: http://media.swissre.com/documents/sigma1_2018_en.pdf (last access: 17 July 2019), 2018. 
Bickenbach, F., Bode, E., Nunnenkamp, P., and Söder, M.: Night lights and regional GDP, Rev. World Econ., 152, 425–447, https://doi.org/10.1007/s10290-016-0246-0, 2016. 
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Short summary
The need for assessing the risk of weather events is ever increasing. In addition to quantification of risk today, the role of aggravating factors such as population growth and changing climate conditions matter too. We present the open-source software CLIMADA, which integrates hazard, exposure, and vulnerability to compute metrics to assess risk and to quantify socio-economic impact, and use it to estimate and contextualize the damage of hurricane Irma through the Caribbean in 2017.
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